High serum complement component C4 as a unique predictor of unfavorable outcomes in diabetic stroke

Author(s):  
Ximeng Zhang ◽  
Jun Yin ◽  
Kai Shao ◽  
Le Yang ◽  
Wei Liu ◽  
...  
2021 ◽  
Author(s):  
Ximeng Zhang ◽  
Jun Yin ◽  
Kai Shao ◽  
M. Le Yang ◽  
Wei Liu ◽  
...  

Abstract Objective: Previous studies demonstrated that diabetic stroke patient had a poor prognosis and excess activation of the complement system in the peripheral blood. In this study, the association of serum complement levels with prognosis of diabetic stroke was examined. Methods: Patients with acute ischemic stroke were recruited and were divided into two groups according to the history of diabetes. Baseline data on the admission including C3 and C4 were collected. Neurologic function at discharge was the primary outcome and was quantified by the National Institutes of Health Stroke Scale (NIHSS). Results: A total of 426 patients with acute ischemic stroke (116 diabetic stroke and 310 non-diabetic stroke) were recruited in this study. There were significant differences on hypertension, CHD, TG, HDL, FGB, C4, and mortality rate between two groups. Furthermore, the values of complement protein levels were divided into tertiles. In diabetic stroke group, serum C4 level at acute phase in the upper third was independently associated with NIHSS score at discharge and concurrent infection. This associations were not significant in non-diabetic stroke. Conclusion: High serum C4 level at admission, as an unique significant predictor, was associated with unfavorable clinical outcome in the diabetic stroke, independently of traditional risk factors.


2019 ◽  
Vol 8 (33) ◽  
pp. 2624-2628
Author(s):  
Ajay Kumar ◽  
Kiran Chawla ◽  
Haritha Madigubba ◽  
Rupesh Thakur ◽  
Dakshina Bisht

2020 ◽  
Author(s):  
Zipeng Yang ◽  
Zi-Guo Yuan ◽  
Anqun Yang ◽  
Xiu-Xiang Zhang ◽  
Xiaohu Wang ◽  
...  

Abstract Background The aim of this study was to investigate the association between the serum complement component 3 “C3” level and the patients with different types of cancer. Our study finding would ultimately provide reliable scientific conclusions to guide clinical practice. Methods PubMed, Embase, The Chorane Library and Google Scholar were systematically searched to identify all studies on serum C3 concentrations in cancer patients published as of September 2019. Additionally, we conducted a clinical study on serum C3 in lung cancer patients and healthy people. The levels of serum complement C3 in 84 lung cancer patients and 30 healthy people were examined by ELISA. We used standardized mean differences (SMD) to report the pooled estimation, and I² statistics were calculated to examine the heterogeneity. For pooling estimates, a fixed effect meta-analysis was conducted on our studies. Two independent reviewers extracted relevant data and conducted deviation risk assessment. Our Meta-analysis was performed using STATA software and Review Manager 5.3. Results The C3 levels of 83 lung cancer patients were 1.07 ± 0.34, and 30 healthy people were 0.95 ± 0.17 (the unit is g/l, keep two decimal places after the decimal point), and the p-value for t-test was 0.014 (<0.05). The overall C3 concentrations of cancer patients were significantly higher than the healthy control (SMD:0.30, 95%CI = 0.20 to 0.40 , p-value <0.00001). There was a certain degree of heterogeneity in the article, but it was acceptable (χ² = 31.89, p-value = 0.02, I²= 44%). Conclusions Concentration analysis and this meta-analysis revealed that the serum C3 concentrations in cancer patients are significantly higher than that of healthy people. Further well-designed, large-scale, randomized controlled trials are needed to confirm this conclusion. Keywords : Complement Component 3; Cancer Patients; Meta-Analysis


2019 ◽  
Vol 29 (4) ◽  
pp. 127-129 ◽  
Author(s):  
Ruo-nan Ji ◽  
Li-li Zhang ◽  
Meng-fei Zhao ◽  
Hui-fang He ◽  
Wei Bai ◽  
...  

2013 ◽  
Vol 18 (3) ◽  
pp. 453-460 ◽  
Author(s):  
Kentaro Kohagura ◽  
Masako Kochi ◽  
Tsuyoshi Miyagi ◽  
Takanori Kinjyo ◽  
Yuichi Maehara ◽  
...  

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